Represented classes

Peak/ridge (warm)


Peak/ridge (cool) 



Upper slope (warm)

Upper slope 

Upper slope  (cool) 

Upper slope  (flat) 

Lower slope (warm)

Lower  slope 

Lower  slope  (cool) 

Lower slope  (flat) \


Valley (narrow) 


The SRTM Landform dataset provides landform classes created by combining the Continuous Heat-Insolation Load Index (SRTM CHILI) and the multi-scale Topographic Position Index (SRTM mTPI) datasets. It is based on the 30m SRTM DEM (available in Earth Engine as USGS/SRTMGL1_003). Theobald, D. M., Harrison-Atlas, D., Monahan, W. B., & Albano, C. M. (2015). Ecologically-relevant maps of landforms and physiographic diversity for climate adaptation planning. PloS one, 10(12), e0143619 

Conservation Science Partners (CSP) Ecologically Relevant Geomorphology (ERGo) 

Source data

Conservation Science Partners (CSP) Ecologically Relevant Geomorphology (ERGo)



The Conservation Science Partners (CSP) Ecologically Relevant Geomorphology (ERGo) Datasets, Landforms and Physiography contain detailed, multi-scale data on landforms and physiographic (aka land facet) patterns. Although there are many potential uses of these data, the original purpose for these data was to develop an ecologically relevant classification and map of landforms and physiographic classes that are suitable for climate adaptation planning. Because there is large uncertainty associated with future climate conditions and even more uncertainty around ecological responses, providing information about what is unlikely to change offers a strong foundation for managers to build robust climate adaptation plans. The quantification of these features of the landscape is sensitive to the resolution, so we provide the highest resolution possible given the extent and characteristics of a given index. 

Spatial resolution

Global coverage

30m resolution

Temporal resolution

Period of observation: 2006-2011